Epoch duration

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etc
Posts: 11
Joined: Sat Mar 07, 2020 4:33 pm

Epoch duration

Post by etc »

Sorry for my bad English!
In this example:
Flash duration: 0.1
No flash duration: 0.5
Epoch duration: 1.2 sec.,
I think that a target-epoch (i.e. with the start from the stimulation target), will get the EEGs for one target stimulation and also for one no-target stimolation.
Is this a problem for the Classifier trainer?
Perhaps, is it better to choose an Epoch duration that put in every Epoch only one type of epoch? In the example, with Epoch duration 0.6, I think that in every epoch I will put the EEG of only one type.
Or is it not a problem?
Thank you!
Ettore

Thibaut
Posts: 161
Joined: Wed Oct 31, 2018 9:14 am

Re: Epoch duration

Post by Thibaut »

Hi,
I need more background please.^^
I think you are in P300 style if I remember good.
Share the scenario and more information.
Thibaut

etc
Posts: 11
Joined: Sat Mar 07, 2020 4:33 pm

Re: Epoch duration

Post by etc »

Thank you very much Thibaut for your answer!
Sorry for the delay of my new answer: I had the fever!
You remember very well! I am tryng to work with the P300 Speller scenario.
The question is:
if (for i.e.):
1) in the box "P300 stimulator" (in the P300 Speller acquisition) I indicate a flash duration of 0,2 ms. and a no flash duration of 0,1 ms.;
2) in the box "Stimulation based epoching" ( in the P300 Speller "train classifier") I indicate an epoch duration long 0,9 ms.;
Then I think that I will get epochs overlapping.
Now the epochs overlapping are a problem for the Classifier trainer? I think that with the overlapping the Classifier trainer will get in input epochs started with target stimulus (and, then, classified in input as target) with inside data "after" stimulus target but also data "after" no target.
Is it a problem? Is it better to indicate an epoch duration equal to the sum of flash duration and no flash duration to get for every epoch only one type of data?
Sorry, I have a second question: at the end of the work of the train classifier we get 2 confusion matrix.
I think to have understood the first matrix ("cross validation test accuracy") because I think to have understood as the cross-validations works.
I didn't understand the second matrix. I would ask to you if you can spend some words about the "training set accuracy" of the second matrix. (I got 61% on cross validation test accuracy and 100% on training set accuracy).
Thank you very much!
Ettore

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